65 lines
1.8 KiB
Plaintext
65 lines
1.8 KiB
Plaintext
[[release-highlights-7.5.0]]
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== 7.5.0 release highlights
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++++
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<titleabbrev>7.5.0</titleabbrev>
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++++
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//NOTE: The notable-highlights tagged regions are re-used in the
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//Installation and Upgrade Guide
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// tag::notable-highlights[]
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[float]
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==== Enrich processor
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A new {ref}/enrich-processor.html[enrich ingest processor] has been added,
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which can enrich documents with data from another index.
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// end::notable-highlights[]
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// tag::notable-highlights[]
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[float]
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==== Shape support in SQL
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{ref}/xpack-sql.html[SQL] functionality that worked for geo_shape will
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now work for the {ref}/shape.html[`shape`] field type introduced in 7.4.
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// end::notable-highlights[]
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// tag::notable-highlights[]
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[float]
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==== Snapshot lifecycle management retention
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There is a new {ref}/slm-retention.html[snapshot lifecycle management retention],
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which allows you to delete older snapshots automatically through a custom
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policy’s schedule.
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// end::notable-highlights[]
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// tag::notable-highlights[]
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[float]
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==== Pause {ccr}
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New {ref}/ccr-post-pause-follow.html[pause] and
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{ref}/ccr-post-pause-follow.html[resume] API endpoints for
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{ref}/xpack-ccr.html[{ccr}] have been added, which enable you to temporarily
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pause auto-follow patterns.
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// end::notable-highlights[]
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// tag::notable-highlights[]
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[float]
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==== {ml-cap} {classanalysis}
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{ml-docs}/dfa-classification.html[{classanalysis-cap}] is a supervised {ml}
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process for predicting a class or category of a given data point in a dataset.
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For example, it can determine whether an email is spam or not.
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{classification-cap} is for predicting discrete, categorical values, unlike
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{reganalysis}, which predicts continuous, numerical values. 7.5.0 introduces
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binary classification, which can label data points into two possible categories.
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// end::notable-highlights[]
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